Advances in neural information processing systems 17 : proceedings of the 2004 conference

Advances in neural information processing systems 17 : proceedings of the 2004 conference
Author :
Publisher :
Total Pages : 1668
Release :
ISBN-10 : OCLC:1023758614
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Advances in neural information processing systems 17 : proceedings of the 2004 conference by : Lawrence K. Saul

Download or read book Advances in neural information processing systems 17 : proceedings of the 2004 conference written by Lawrence K. Saul and published by . This book was released on 2004 with total page 1668 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Advances in neural information processing systems 17 : proceedings of the 2004 conference Related Books

Advances in neural information processing systems 17 : proceedings of the 2004 conference
Language: en
Pages: 1668
Authors: Lawrence K. Saul
Categories: Neural computers
Type: BOOK - Published: 2004 - Publisher:

DOWNLOAD EBOOK

Computational and Robotic Models of the Hierarchical Organization of Behavior
Language: en
Pages: 358
Authors: Gianluca Baldassarre
Categories: Computers
Type: BOOK - Published: 2013-11-19 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Current robots and other artificial systems are typically able to accomplish only one single task. Overcoming this limitation requires the development of contro
Algorithms and Models for Network Data and Link Analysis
Language: en
Pages: 549
Authors: François Fouss
Categories: Computers
Type: BOOK - Published: 2016-07-12 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A hands-on, entry-level guide to algorithms for extracting information about social and economic behavior from network data.
Bayesian Time Series Models
Language: en
Pages: 432
Authors: David Barber
Categories: Computers
Type: BOOK - Published: 2011-08-11 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

The first unified treatment of time series modelling techniques spanning machine learning, statistics, engineering and computer science.